| Buy before | Your Rate | Full Rate | Savings |
|---|---|---|---|
| Sep. 15 | $895.00 | $1,195.00 | $300.00 |
| Oct. 15 | $1,095.00 | $1,195.00 | $100.00 |
| Nov. 14 | $1,195.00 | $1,195.00 | $0.00 |
Learn how to operationalize the latest advanced analytic technologies such as data mining, predictive analytics, machine learning, and artificial intelligence to become more data-driven and drive business process innovation.
Is your organization using the latest advanced analytic technologies to full advantage? The key to deriving maximum business value is taking into account the decision-making you want to improve. This course shows you how to effectively operationalize advanced analytics and data science in business processes by focusing on decisions first. You’ll learn how to define and scope the business problem, ensuring that analytics are useful in business terms. You’ll also find out how to operationalize the results and use analytical decision-making to innovate business processes.
By using standards-based approaches (CRISP-DM, Decision Model and Notation [DMN]), you’ll learn how to effectively apply data-driven decision-making and analytics to business processes by identifying and modeling business decisions; applying advanced analytic technologies and data science to improve these decisions; and using analytical improvements in decision-making to drive real process innovation.
Participants will learn a proven approach to applying advanced analytic techniques to improve business processes by focusing on the operational decisions within those processes.
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